Overview

Dataset statistics

Number of variables17
Number of observations61
Missing cells6
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory197.1 B

Variable types

DateTime1
Numeric16

Alerts

perc_week_change_ad_revenue has 1 (1.6%) missing valuesMissing
perc_week_change_impressions has 1 (1.6%) missing valuesMissing
perc_week_change_clicks has 1 (1.6%) missing valuesMissing
pp_week_change_click_through_rate has 1 (1.6%) missing valuesMissing
perc_week_change_unit_sales has 1 (1.6%) missing valuesMissing
perc_week_change_cost_per_click has 1 (1.6%) missing valuesMissing
week_commencing has unique valuesUnique
ad_revenue has unique valuesUnique
impressions has unique valuesUnique
clicks has unique valuesUnique
click_through_rate has unique valuesUnique
unit_sales has unique valuesUnique
conversions has unique valuesUnique
sales_revenue has unique valuesUnique
cost_per_click has unique valuesUnique
click_to_conversion_rate has unique valuesUnique
roas has unique valuesUnique

Reproduction

Analysis started2023-12-30 10:16:14.888623
Analysis finished2023-12-30 12:08:53.499443
Duration1 hour, 52 minutes and 38.61 seconds
Software versionydata-profiling vv4.6.3
Download configurationconfig.json

Variables

week_commencing
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size616.0 B
Minimum2022-08-01 00:00:00
Maximum2023-09-25 00:00:00
2023-12-30T23:08:53.804102image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-31T00:16:31.793678image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

ad_revenue
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean499489.78
Minimum339700.23
Maximum701041.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:31.989944image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum339700.23
5-th percentile373105.76
Q1433108.05
median496826.59
Q3544216.47
95-th percentile675155.82
Maximum701041.19
Range361340.95
Interquartile range (IQR)111108.42

Descriptive statistics

Standard deviation88073.105
Coefficient of variation (CV)0.17632614
Kurtosis-0.29437077
Mean499489.78
Median Absolute Deviation (MAD)58917.01
Skewness0.46295852
Sum30468877
Variance7.7568719 × 109
MonotonicityNot monotonic
2023-12-31T00:16:32.180091image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
410565.4061 1
 
1.6%
449699.1715 1
 
1.6%
530994.7806 1
 
1.6%
466966.6453 1
 
1.6%
372659.5961 1
 
1.6%
378960.2705 1
 
1.6%
519822.8768 1
 
1.6%
546137.1278 1
 
1.6%
555743.5975 1
 
1.6%
438158.385 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
339700.2335 1
1.6%
354098.6597 1
1.6%
372659.5961 1
1.6%
373105.7584 1
1.6%
378960.2705 1
1.6%
386723.6 1
1.6%
388944.1077 1
1.6%
405498.584 1
1.6%
406421.5563 1
1.6%
410565.4061 1
1.6%
ValueCountFrequency (%)
701041.1856 1
1.6%
694224.0929 1
1.6%
678644.8497 1
1.6%
675155.8205 1
1.6%
657350.5676 1
1.6%
640384.8526 1
1.6%
628679.4057 1
1.6%
610913.9346 1
1.6%
589575.7127 1
1.6%
587696.8495 1
1.6%

impressions
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41149980
Minimum25461706
Maximum68775457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:33.230513image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum25461706
5-th percentile30115396
Q132699996
median38362783
Q343876420
95-th percentile64157630
Maximum68775457
Range43313751
Interquartile range (IQR)11176424

Descriptive statistics

Standard deviation11086023
Coefficient of variation (CV)0.26940532
Kurtosis0.37253766
Mean41149980
Median Absolute Deviation (MAD)5662787
Skewness1.1207363
Sum2.5101488 × 109
Variance1.2289991 × 1014
MonotonicityNot monotonic
2023-12-31T00:16:33.709668image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30115396 1
 
1.6%
40270120 1
 
1.6%
48396148 1
 
1.6%
43198958 1
 
1.6%
36152420 1
 
1.6%
38362783 1
 
1.6%
42505902 1
 
1.6%
39091633 1
 
1.6%
37939637 1
 
1.6%
32822102 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
25461706 1
1.6%
28808388 1
1.6%
30041636 1
1.6%
30115396 1
1.6%
30238481 1
1.6%
30299610 1
1.6%
30457157 1
1.6%
30566582 1
1.6%
30622119 1
1.6%
30675607 1
1.6%
ValueCountFrequency (%)
68775457 1
1.6%
68491348 1
1.6%
68311992 1
1.6%
64157630 1
1.6%
60472926 1
1.6%
59354083 1
1.6%
59272583 1
1.6%
58626236 1
1.6%
58132948 1
1.6%
57239487 1
1.6%

clicks
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415383.26
Minimum275726
Maximum585987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:34.172403image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum275726
5-th percentile303686
Q1353907
median408154
Q3457418
95-th percentile575256
Maximum585987
Range310261
Interquartile range (IQR)103511

Descriptive statistics

Standard deviation76552.186
Coefficient of variation (CV)0.1842929
Kurtosis-0.32756499
Mean415383.26
Median Absolute Deviation (MAD)52626
Skewness0.45982586
Sum25338379
Variance5.8602372 × 109
MonotonicityNot monotonic
2023-12-31T00:16:34.566633image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337967 1
 
1.6%
375584 1
 
1.6%
434668 1
 
1.6%
393055 1
 
1.6%
307084 1
 
1.6%
328785 1
 
1.6%
404615 1
 
1.6%
446428 1
 
1.6%
457418 1
 
1.6%
359470 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
275726 1
1.6%
290644 1
1.6%
303014 1
1.6%
303686 1
1.6%
307084 1
1.6%
325886 1
1.6%
327956 1
1.6%
328785 1
1.6%
337967 1
1.6%
341148 1
1.6%
ValueCountFrequency (%)
585987 1
1.6%
577846 1
1.6%
576102 1
1.6%
575256 1
1.6%
557088 1
1.6%
535203 1
1.6%
511359 1
1.6%
501356 1
1.6%
499806 1
1.6%
493098 1
1.6%

click_through_rate
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010360342
Minimum0.007846222
Maximum0.013651279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:34.950760image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0.007846222
5-th percentile0.008196072
Q10.009098715
median0.010666621
Q30.011479705
95-th percentile0.012561944
Maximum0.013651279
Range0.005805057
Interquartile range (IQR)0.00238099

Descriptive statistics

Standard deviation0.0015209719
Coefficient of variation (CV)0.14680711
Kurtosis-1.101593
Mean0.010360342
Median Absolute Deviation (MAD)0.001328133
Skewness0.13998864
Sum0.63198088
Variance2.3133556 × 10-6
MonotonicityNot monotonic
2023-12-31T00:16:35.240112image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011222399 1
 
1.6%
0.009326617 1
 
1.6%
0.008981459 1
 
1.6%
0.009098715 1
 
1.6%
0.008494148 1
 
1.6%
0.008570416 1
 
1.6%
0.009519031 1
 
1.6%
0.01142004 1
 
1.6%
0.012056467 1
 
1.6%
0.010952071 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
0.007846222 1
1.6%
0.008118363 1
1.6%
0.008174505 1
1.6%
0.008196072 1
1.6%
0.008290586 1
1.6%
0.008411311 1
1.6%
0.008458925 1
1.6%
0.008494148 1
1.6%
0.008520292 1
1.6%
0.008570416 1
1.6%
ValueCountFrequency (%)
0.013651279 1
1.6%
0.013354738 1
1.6%
0.012582864 1
1.6%
0.012561944 1
1.6%
0.012513086 1
1.6%
0.01241379 1
1.6%
0.012224981 1
1.6%
0.012181987 1
1.6%
0.012163642 1
1.6%
0.012056467 1
1.6%

unit_sales
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260948.34
Minimum134870
Maximum338569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:35.463890image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum134870
5-th percentile187190
Q1234861
median263148
Q3292444
95-th percentile336552
Maximum338569
Range203699
Interquartile range (IQR)57583

Descriptive statistics

Standard deviation48092.05
Coefficient of variation (CV)0.1842972
Kurtosis-0.062737048
Mean260948.34
Median Absolute Deviation (MAD)28768
Skewness-0.47480217
Sum15917849
Variance2.3128453 × 109
MonotonicityNot monotonic
2023-12-31T00:16:35.691912image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257534 1
 
1.6%
263148 1
 
1.6%
307007 1
 
1.6%
284848 1
 
1.6%
207198 1
 
1.6%
234380 1
 
1.6%
297979 1
 
1.6%
248302 1
 
1.6%
273933 1
 
1.6%
223039 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
134870 1
1.6%
146816 1
1.6%
159476 1
1.6%
187190 1
1.6%
195234 1
1.6%
200474 1
1.6%
202132 1
1.6%
203765 1
1.6%
203935 1
1.6%
206797 1
1.6%
ValueCountFrequency (%)
338569 1
1.6%
337699 1
1.6%
337463 1
1.6%
336552 1
1.6%
334123 1
1.6%
330136 1
1.6%
318692 1
1.6%
315056 1
1.6%
311791 1
1.6%
309339 1
1.6%

conversions
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204975.25
Minimum106322
Maximum267833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:35.910660image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum106322
5-th percentile145365
Q1182080
median210842
Q3231569
95-th percentile264286
Maximum267833
Range161511
Interquartile range (IQR)49489

Descriptive statistics

Standard deviation39061.337
Coefficient of variation (CV)0.19056612
Kurtosis-0.25752554
Mean204975.25
Median Absolute Deviation (MAD)24725
Skewness-0.46951627
Sum12503490
Variance1.5257881 × 109
MonotonicityNot monotonic
2023-12-31T00:16:36.114241image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200522 1
 
1.6%
206523 1
 
1.6%
240509 1
 
1.6%
220822 1
 
1.6%
162107 1
 
1.6%
185960 1
 
1.6%
230757 1
 
1.6%
195358 1
 
1.6%
215887 1
 
1.6%
177696 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
106322 1
1.6%
113435 1
1.6%
127630 1
1.6%
145365 1
1.6%
146936 1
1.6%
149306 1
1.6%
153559 1
1.6%
156709 1
1.6%
158457 1
1.6%
158760 1
1.6%
ValueCountFrequency (%)
267833 1
1.6%
266702 1
1.6%
265051 1
1.6%
264286 1
1.6%
264015 1
1.6%
259816 1
1.6%
252307 1
1.6%
246817 1
1.6%
246123 1
1.6%
245581 1
1.6%

sales_revenue
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1656746.2
Minimum884090.99
Maximum2193485.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:36.321684image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum884090.99
5-th percentile1122894
Q11454710.8
median1648129.6
Q31916690.6
95-th percentile2090337.5
Maximum2193485.5
Range1309394.6
Interquartile range (IQR)461979.73

Descriptive statistics

Standard deviation314201.67
Coefficient of variation (CV)0.18964985
Kurtosis-0.4895728
Mean1656746.2
Median Absolute Deviation (MAD)250618.65
Skewness-0.39804827
Sum1.0106152 × 108
Variance9.8722691 × 1010
MonotonicityNot monotonic
2023-12-31T00:16:36.523797image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1559761.2 1
 
1.6%
1705434.42 1
 
1.6%
2022460.89 1
 
1.6%
1921538.1 1
 
1.6%
1348811.7 1
 
1.6%
1505484.44 1
 
1.6%
1812913.87 1
 
1.6%
1632453.44 1
 
1.6%
1795128.86 1
 
1.6%
1475088.66 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
884090.99 1
1.6%
925001.78 1
1.6%
1079304.92 1
1.6%
1122894.04 1
1.6%
1157927.45 1
1.6%
1229942.99 1
1.6%
1290763.09 1
1.6%
1331747.27 1
1.6%
1337289.39 1
1.6%
1342368.86 1
1.6%
ValueCountFrequency (%)
2193485.55 1
1.6%
2142740.69 1
1.6%
2103818.48 1
1.6%
2090337.49 1
1.6%
2082328.59 1
1.6%
2034331.31 1
1.6%
2023254.58 1
1.6%
2022460.89 1
1.6%
2011065.91 1
1.6%
2010155.43 1
1.6%

cost_per_click
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2056235
Minimum1.0854891
Maximum1.3691205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:36.708586image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum1.0854891
5-th percentile1.1115824
Q11.1697018
median1.2106975
Q31.2313152
95-th percentile1.3049538
Maximum1.3691205
Range0.28363145
Interquartile range (IQR)0.061613489

Descriptive statistics

Standard deviation0.059761249
Coefficient of variation (CV)0.049568747
Kurtosis0.14852003
Mean1.2056235
Median Absolute Deviation (MAD)0.036258524
Skewness0.22083099
Sum73.543036
Variance0.0035714069
MonotonicityNot monotonic
2023-12-31T00:16:36.894876image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.214809156 1
 
1.6%
1.197333144 1
 
1.6%
1.221610012 1
 
1.6%
1.188044028 1
 
1.6%
1.213542862 1
 
1.6%
1.15260815 1
 
1.6%
1.284734567 1
 
1.6%
1.223348732 1
 
1.6%
1.214957867 1
 
1.6%
1.218901118 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1.085489093 1
1.6%
1.09278234 1
1.6%
1.10630789 1
1.6%
1.111582415 1
1.6%
1.113286354 1
1.6%
1.118590365 1
1.6%
1.120427295 1
1.6%
1.129498668 1
1.6%
1.135934535 1
1.6%
1.143460435 1
1.6%
ValueCountFrequency (%)
1.369120539 1
1.6%
1.330574861 1
1.6%
1.318416426 1
1.6%
1.304953769 1
1.6%
1.302028006 1
1.6%
1.284734567 1
1.6%
1.284241093 1
1.6%
1.26713294 1
1.6%
1.262354602 1
1.6%
1.25883741 1
1.6%

click_to_conversion_rate
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49625953
Minimum0.35585565
Maximum0.59331828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:37.074001image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0.35585565
5-th percentile0.37352726
Q10.45406258
median0.47958321
Q30.56271759
95-th percentile0.58468185
Maximum0.59331828
Range0.23746263
Interquartile range (IQR)0.108655

Descriptive statistics

Standard deviation0.066761979
Coefficient of variation (CV)0.13453037
Kurtosis-0.89833457
Mean0.49625953
Median Absolute Deviation (MAD)0.049224566
Skewness-0.16436646
Sum30.271832
Variance0.0044571618
MonotonicityNot monotonic
2023-12-31T00:16:37.263499image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.593318283 1
 
1.6%
0.549871667 1
 
1.6%
0.553316554 1
 
1.6%
0.561809416 1
 
1.6%
0.527891391 1
 
1.6%
0.565597579 1
 
1.6%
0.570312519 1
 
1.6%
0.43760248 1
 
1.6%
0.471968746 1
 
1.6%
0.49432776 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
0.355855649 1
1.6%
0.356152335 1
1.6%
0.365815224 1
1.6%
0.373527262 1
1.6%
0.408641209 1
1.6%
0.410523045 1
1.6%
0.413261003 1
1.6%
0.421201661 1
1.6%
0.430358643 1
1.6%
0.436740883 1
1.6%
ValueCountFrequency (%)
0.593318283 1
1.6%
0.592200228 1
1.6%
0.585005116 1
1.6%
0.584681851 1
1.6%
0.584268382 1
1.6%
0.583462416 1
1.6%
0.57969853 1
1.6%
0.578599283 1
1.6%
0.578535197 1
1.6%
0.577781395 1
1.6%

roas
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3265267
Minimum2.2861056
Maximum4.1149365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size616.0 B
2023-12-31T00:16:37.452729image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum2.2861056
5-th percentile2.5425356
Q13.0476482
median3.4020685
Q33.567837
95-th percentile3.8875663
Maximum4.1149365
Range1.8288309
Interquartile range (IQR)0.52018881

Descriptive statistics

Standard deviation0.39584414
Coefficient of variation (CV)0.11899623
Kurtosis0.049502403
Mean3.3265267
Median Absolute Deviation (MAD)0.30203982
Skewness-0.51676925
Sum202.91813
Variance0.15669258
MonotonicityNot monotonic
2023-12-31T00:16:37.743905image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.799056562 1
 
1.6%
3.792389509 1
 
1.6%
3.808815009 1
 
1.6%
4.114936515 1
 
1.6%
3.619420281 1
 
1.6%
3.972670903 1
 
1.6%
3.487560765 1
 
1.6%
2.989090756 1
 
1.6%
3.230138625 1
 
1.6%
3.366564947 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
2.286105606 1
1.6%
2.394038468 1
1.6%
2.511722 1
1.6%
2.542535636 1
1.6%
2.722994243 1
1.6%
2.836597987 1
1.6%
2.87708076 1
1.6%
2.880887618 1
1.6%
2.892758677 1
1.6%
2.979727709 1
1.6%
ValueCountFrequency (%)
4.114936515 1
1.6%
3.972670903 1
1.6%
3.899929122 1
1.6%
3.887566299 1
1.6%
3.821752534 1
1.6%
3.808815009 1
1.6%
3.799056562 1
1.6%
3.792389509 1
1.6%
3.790945894 1
1.6%
3.74989566 1
1.6%

perc_week_change_ad_revenue
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.018311897
Minimum-0.26473765
Maximum0.37170811
Zeros0
Zeros (%)0.0%
Negative33
Negative (%)54.1%
Memory size616.0 B
2023-12-31T00:16:38.099837image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-0.26473765
5-th percentile-0.16490244
Q1-0.089592816
median-0.023027631
Q30.10961737
95-th percentile0.28861982
Maximum0.37170811
Range0.63644576
Interquartile range (IQR)0.19921019

Descriptive statistics

Standard deviation0.14648458
Coefficient of variation (CV)7.9994212
Kurtosis-0.2085793
Mean0.018311897
Median Absolute Deviation (MAD)0.080243261
Skewness0.60770137
Sum1.0987138
Variance0.021457732
MonotonicityNot monotonic
2023-12-31T00:16:38.438476image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.094856872 1
 
1.6%
0.116697775 1
 
1.6%
-0.120581478 1
 
1.6%
-0.201956714 1
 
1.6%
0.016907318 1
 
1.6%
0.371708111 1
 
1.6%
0.050621572 1
 
1.6%
0.017589849 1
 
1.6%
-0.211581767 1
 
1.6%
0.297241145 1
 
1.6%
Other values (50) 50
82.0%
ValueCountFrequency (%)
-0.264737654 1
1.6%
-0.211581767 1
1.6%
-0.201956714 1
1.6%
-0.162952212 1
1.6%
-0.155311286 1
1.6%
-0.143307902 1
1.6%
-0.137534107 1
1.6%
-0.134634016 1
1.6%
-0.120581478 1
1.6%
-0.10310306 1
1.6%
ValueCountFrequency (%)
0.371708111 1
1.6%
0.357106513 1
1.6%
0.297241145 1
1.6%
0.288166061 1
1.6%
0.278994877 1
1.6%
0.245909677 1
1.6%
0.239436923 1
1.6%
0.216185761 1
1.6%
0.210084842 1
1.6%
0.207379594 1
1.6%

perc_week_change_impressions
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.018195082
Minimum-0.19591319
Maximum0.27966082
Zeros0
Zeros (%)0.0%
Negative32
Negative (%)52.5%
Memory size616.0 B
2023-12-31T00:16:38.681595image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-0.19591319
5-th percentile-0.15495808
Q1-0.050414223
median-0.006818815
Q30.08663409
95-th percentile0.20646761
Maximum0.27966082
Range0.47557401
Interquartile range (IQR)0.13704831

Descriptive statistics

Standard deviation0.10768133
Coefficient of variation (CV)5.9181558
Kurtosis-0.16407164
Mean0.018195082
Median Absolute Deviation (MAD)0.05839254
Skewness0.40697447
Sum1.0917049
Variance0.011595269
MonotonicityNot monotonic
2023-12-31T00:16:38.879003image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.069409354 1
 
1.6%
0.10301041 1
 
1.6%
-0.107388505 1
 
1.6%
-0.16311824 1
 
1.6%
0.061140112 1
 
1.6%
0.107998395 1
 
1.6%
-0.080324586 1
 
1.6%
-0.029469119 1
 
1.6%
-0.13488624 1
 
1.6%
0.237649496 1
 
1.6%
Other values (50) 50
82.0%
ValueCountFrequency (%)
-0.195913191 1
1.6%
-0.170471733 1
1.6%
-0.16311824 1
1.6%
-0.154528601 1
1.6%
-0.13488624 1
1.6%
-0.134597511 1
1.6%
-0.107388505 1
1.6%
-0.080324586 1
1.6%
-0.069409354 1
1.6%
-0.067143531 1
1.6%
ValueCountFrequency (%)
0.279660821 1
1.6%
0.237649496 1
1.6%
0.237433658 1
1.6%
0.204837819 1
1.6%
0.195123492 1
1.6%
0.192452489 1
1.6%
0.183556026 1
1.6%
0.154457561 1
1.6%
0.137293357 1
1.6%
0.130600658 1
1.6%

perc_week_change_clicks
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.016501702
Minimum-0.2434377
Maximum0.3554789
Zeros0
Zeros (%)0.0%
Negative29
Negative (%)47.5%
Memory size616.0 B
2023-12-31T00:16:39.061299image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-0.2434377
5-th percentile-0.18566142
Q1-0.069941586
median0.0069338665
Q30.080803797
95-th percentile0.24602044
Maximum0.3554789
Range0.5989166
Interquartile range (IQR)0.15074538

Descriptive statistics

Standard deviation0.13112111
Coefficient of variation (CV)7.9459142
Kurtosis0.22475776
Mean0.016501702
Median Absolute Deviation (MAD)0.077190645
Skewness0.49507869
Sum0.99010213
Variance0.017192745
MonotonicityNot monotonic
2023-12-31T00:16:39.265123image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.091985146 1
 
1.6%
0.075817689 1
 
1.6%
-0.095735136 1
 
1.6%
-0.218725115 1
 
1.6%
0.070667961 1
 
1.6%
0.230637042 1
 
1.6%
0.103340212 1
 
1.6%
0.024617632 1
 
1.6%
-0.214132369 1
 
1.6%
0.355478899 1
 
1.6%
Other values (50) 50
82.0%
ValueCountFrequency (%)
-0.243437698 1
1.6%
-0.218725115 1
1.6%
-0.214132369 1
1.6%
-0.184162951 1
1.6%
-0.158961434 1
1.6%
-0.134469771 1
1.6%
-0.126114921 1
1.6%
-0.110075851 1
1.6%
-0.099213271 1
1.6%
-0.095735136 1
1.6%
ValueCountFrequency (%)
0.355478899 1
1.6%
0.344000053 1
1.6%
0.260498015 1
1.6%
0.24525846 1
1.6%
0.237271784 1
1.6%
0.230637042 1
1.6%
0.19846585 1
1.6%
0.168804203 1
1.6%
0.156517928 1
1.6%
0.136863928 1
1.6%

pp_week_change_click_through_rate
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean-4.2321417 × 10-5
Minimum-0.001827749
Maximum0.001901009
Zeros0
Zeros (%)0.0%
Negative33
Negative (%)54.1%
Memory size616.0 B
2023-12-31T00:16:39.478591image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-0.001827749
5-th percentile-0.0011232673
Q1-0.00048816375
median-7.1528 × 10-5
Q30.00038854325
95-th percentile0.0011683816
Maximum0.001901009
Range0.003728758
Interquartile range (IQR)0.000876707

Descriptive statistics

Standard deviation0.00075848314
Coefficient of variation (CV)-17.92197
Kurtosis0.23506075
Mean-4.2321417 × 10-5
Median Absolute Deviation (MAD)0.0004338255
Skewness0.031672943
Sum-0.002539285
Variance5.7529667 × 10-7
MonotonicityNot monotonic
2023-12-31T00:16:39.681549image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.000231886 1
 
1.6%
-0.000227018 1
 
1.6%
0.000117256 1
 
1.6%
-0.000604567 1
 
1.6%
7.6268 × 10-51
 
1.6%
0.000948615 1
 
1.6%
0.001901009 1
 
1.6%
0.000636427 1
 
1.6%
-0.001104396 1
 
1.6%
0.001042683 1
 
1.6%
Other values (50) 50
82.0%
ValueCountFrequency (%)
-0.001827749 1
1.6%
-0.001747169 1
1.6%
-0.001481822 1
1.6%
-0.001104396 1
1.6%
-0.001089335 1
1.6%
-0.00108837 1
1.6%
-0.001062207 1
1.6%
-0.000894916 1
1.6%
-0.000857214 1
1.6%
-0.000692125 1
1.6%
ValueCountFrequency (%)
0.001901009 1
1.6%
0.001405343 1
1.6%
0.001282774 1
1.6%
0.001162361 1
1.6%
0.001099812 1
1.6%
0.001042683 1
1.6%
0.001033381 1
1.6%
0.000948615 1
1.6%
0.000762605 1
1.6%
0.00069607 1
1.6%

perc_week_change_unit_sales
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.015532668
Minimum-0.33276275
Maximum0.30804927
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)49.2%
Memory size616.0 B
2023-12-31T00:16:39.878423image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-0.33276275
5-th percentile-0.19988744
Q1-0.081880624
median0.008432388
Q30.11990537
95-th percentile0.27153231
Maximum0.30804927
Range0.64081201
Interquartile range (IQR)0.20178599

Descriptive statistics

Standard deviation0.14903224
Coefficient of variation (CV)9.5947613
Kurtosis-0.56067793
Mean0.015532668
Median Absolute Deviation (MAD)0.10110011
Skewness-0.018030908
Sum0.93196008
Variance0.022210609
MonotonicityNot monotonic
2023-12-31T00:16:40.065163image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.097556542 1
 
1.6%
0.086915885 1
 
1.6%
-0.072177507 1
 
1.6%
-0.272601528 1
 
1.6%
0.131188525 1
 
1.6%
0.271349945 1
 
1.6%
-0.166713091 1
 
1.6%
0.103225105 1
 
1.6%
-0.185789956 1
 
1.6%
0.308049265 1
 
1.6%
Other values (50) 50
82.0%
ValueCountFrequency (%)
-0.332762749 1
1.6%
-0.272601528 1
1.6%
-0.25454205 1
1.6%
-0.19701088 1
1.6%
-0.185789956 1
1.6%
-0.167072029 1
1.6%
-0.166713091 1
1.6%
-0.146414262 1
1.6%
-0.143512104 1
1.6%
-0.139529364 1
1.6%
ValueCountFrequency (%)
0.308049265 1
1.6%
0.284976125 1
1.6%
0.274997276 1
1.6%
0.271349945 1
1.6%
0.236084798 1
1.6%
0.208810965 1
1.6%
0.203194437 1
1.6%
0.200240678 1
1.6%
0.195827102 1
1.6%
0.188304472 1
1.6%

perc_week_change_cost_per_click
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.00086496312
Minimum-0.091548352
Maximum0.11463255
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)55.7%
Memory size616.0 B
2023-12-31T00:16:40.253816image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-0.091548352
5-th percentile-0.062293618
Q1-0.02750658
median-0.005536626
Q30.022870127
95-th percentile0.078437414
Maximum0.11463255
Range0.20618091
Interquartile range (IQR)0.050376707

Descriptive statistics

Standard deviation0.0431329
Coefficient of variation (CV)49.86675
Kurtosis0.10300464
Mean0.00086496312
Median Absolute Deviation (MAD)0.023928128
Skewness0.45464847
Sum0.051897787
Variance0.001860447
MonotonicityNot monotonic
2023-12-31T00:16:40.433313image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.003162642 1
 
1.6%
0.037999083 1
 
1.6%
-0.027476841 1
 
1.6%
0.02146287 1
 
1.6%
-0.050212245 1
 
1.6%
0.114632555 1
 
1.6%
-0.047780948 1
 
1.6%
-0.006858931 1
 
1.6%
0.003245587 1
 
1.6%
-0.042964707 1
 
1.6%
Other values (50) 50
82.0%
ValueCountFrequency (%)
-0.091548352 1
1.6%
-0.074599045 1
1.6%
-0.062615289 1
1.6%
-0.062276688 1
1.6%
-0.054546606 1
1.6%
-0.053520479 1
1.6%
-0.050212245 1
1.6%
-0.047780948 1
1.6%
-0.043654544 1
1.6%
-0.042964707 1
1.6%
ValueCountFrequency (%)
0.114632555 1
1.6%
0.102123056 1
1.6%
0.081438203 1
1.6%
0.078279478 1
1.6%
0.064406049 1
1.6%
0.057154605 1
1.6%
0.054746633 1
1.6%
0.05340643 1
1.6%
0.051529255 1
1.6%
0.048926673 1
1.6%

Interactions

2023-12-30T23:08:46.262869image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:15.079837image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:17.122373image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:18.853435image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:20.677982image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:22.405301image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:24.283894image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:26.716244image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:28.568024image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:30.249970image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:32.138035image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:34.171116image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:37.943236image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:40.233052image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:41.938998image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:44.249218image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:46.418344image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:15.227718image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:17.229854image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:18.964338image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:20.791196image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:22.524726image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:24.401775image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:26.886716image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:28.675640image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:30.358545image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:32.252386image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:34.284568image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:38.133049image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:40.343364image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:42.133241image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:44.372909image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:46.769660image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:15.348429image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:17.320425image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:19.063295image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:20.888761image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:22.630996image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:24.506757image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:26.985828image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:28.773355image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:30.453902image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:32.349801image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:34.383066image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
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2023-12-30T21:16:18.748211image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:20.578670image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:22.291248image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:24.177361image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:26.608452image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:28.463751image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:30.154411image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:32.041780image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T21:16:34.069838image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:37.785693image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:40.131705image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:41.829242image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:44.129267image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
2023-12-30T23:08:46.145703image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Missing values

2023-12-30T23:08:51.648366image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-30T23:08:52.723228image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

week_commencingad_revenueimpressionsclicksclick_through_rateunit_salesconversionssales_revenuecost_per_clickclick_to_conversion_rateroasperc_week_change_ad_revenueperc_week_change_impressionsperc_week_change_clickspp_week_change_click_through_rateperc_week_change_unit_salesperc_week_change_cost_per_click
02022-08-01410565.4061301153963379670.0112222575342005221559761.201.2148090.5933183.799057NaNNaNNaNNaNNaNNaN
12022-08-08354098.6597254617062757260.0108292067971632851342368.861.2842410.5922003.790946-0.137534-0.154529-0.184163-0.000393-0.1970110.057155
22022-08-15430649.7478315071723411480.0108282488171967241508552.541.2623550.5766533.5029690.2161860.2374340.237272-0.0000010.203194-0.017042
32022-08-22388944.1077304571573258860.0107002401161870271405581.231.1934970.5739033.613839-0.096844-0.033326-0.044737-0.000128-0.034969-0.054547
42022-08-29433108.0461306221193440540.0112352591491987881526585.821.2588370.5777813.5247230.1135480.0054160.0557500.0005360.0792660.054747
52022-09-05405498.5840288083883279560.0113842473261913501425315.361.2364420.5834623.514970-0.063747-0.059229-0.0467890.000149-0.045622-0.017791
62022-09-12434816.3665302384813539070.0117042654402069231521391.351.2286180.5846823.4989280.0723010.0496420.0791300.0003200.073239-0.006328
72022-09-19422903.5255300416363415680.0113702516031976311454710.841.2381240.5785993.439817-0.027397-0.006510-0.034865-0.000334-0.0521290.007737
82022-09-26417812.5410302996103479320.0114832588692035421476413.731.2008450.5850053.533675-0.0120380.0085870.0186320.0001130.028879-0.030109
92022-10-03470935.7204306756073859870.0125832870162255201648129.621.2200820.5842683.4996910.1271460.0124090.1093750.0011000.1087310.016019
week_commencingad_revenueimpressionsclicksclick_through_rateunit_salesconversionssales_revenuecost_per_clickclick_to_conversion_rateroasperc_week_change_ad_revenueperc_week_change_impressionsperc_week_change_clickspp_week_change_click_through_rateperc_week_change_unit_salesperc_week_change_cost_per_click
512023-07-24657350.5676586262365352030.0091293186922523071975263.721.2282270.4714233.004886-0.053115-0.012263-0.069626-0.000563-0.0556240.017747
522023-07-31589575.7127572394874930980.0086152946202297901948369.201.1956560.4660133.304697-0.103103-0.023654-0.078671-0.000514-0.075534-0.026518
532023-08-07530607.9500571589404640370.0081182670822120181770306.271.1434600.4568993.336373-0.100017-0.001407-0.058936-0.000496-0.093470-0.043655
542023-08-14678644.8497683119925778460.0084593301362598162103818.481.1744390.4496283.1000290.2789950.1951230.2452580.0003410.2360850.027092
552023-08-21640384.8526684913485761020.0084113365522667022193485.551.1115820.4629423.425261-0.0563770.002626-0.003018-0.0000480.019434-0.053520
562023-08-28536032.7243592725834845240.0081752924442293311916690.571.1063080.4733123.575697-0.162952-0.134598-0.158961-0.000237-0.131058-0.004745
572023-09-04498444.2520581329484561240.0078462663092110791636552.431.0927820.4627673.283321-0.070123-0.019227-0.058614-0.000328-0.089368-0.012226
582023-09-11544216.4695604729265013560.0082912887602276471885179.821.0854890.4540633.4640260.0918300.0402520.0991660.0004440.084304-0.006674
592023-09-18701041.1856687754575859870.0085203385692650512142740.691.1963430.4523153.0565120.2881660.1372930.1688040.0002300.1724930.102123
602023-09-25675155.8205641576305570880.0086833376992642862090337.491.2119370.4744063.096082-0.036924-0.067144-0.0493170.000163-0.0025700.013035